A framework for earning visibility, trust and recommendation in the age of AI‑driven decisions.
Google/Ipsos Global Consumer Journeys, Dec 2025
71%
expecting personalised interactions
77%
of AI users reporting a shorter path from discovery to purchase
Discovery is already being reshaped. Search is becoming conversational, product information is evaluated in context and reviews, social proof and expert content are synthesised into a single, trusted answer. Visibility is no longer guaranteed, attribution is becoming more complex and brands that fail to adapt risk disappearing from the decision process.
For brands, the challenge is structural. Success is no longer driven by optimising a single channel, but by how signals are created, validated and connected across the entire journey.
We are entering a new era, where discovery shifts to AI-driven recommendations, with AI acting as the decision layer between brands and consumers.
For decades, marketers relied on the attention funnel to drive consumers toward a sale. Today, that model is collapsing into a seamless, AI-powered intention flow where the journey moves from ranking in search results to becoming the definitive answer:
This is not just a new model. It’s a fundamental shift in how decisions are made.
The move from attention to intention doesn’t just change channels. It redefines how value is created, how decisions are made and how brands compete.
Instead of pushing consumers down a linear path, this new journey is built around active intent. AI captures and responds instantly, allowing consumers to enter at any point. It is no longer a funnel, but a fluid feedback loop that adapts, shapes and fulfils their intent.
Attention economy | AI consumer journey | |
|---|---|---|
Engine | Monetise attention | Monetise action |
Journey | Browse → compare → decide | Ask → receive → act |
User exchange | Time and attention | Intent and preference |
Advantage | Reach, impressions, awareness | Proximity to the decision |
Metrics | Visibility and clicks | Recommendation and selection |
Control | Platforms own the feed | AI shapes the choice |
Brand imperative | Be found. Break through noise. | Be understood, trusted, chosen. |
This shift doesn’t just redefine the model. It changes how decisions happen. This is how the intention flow operates in practice.
The eight Cs of the AI consumer journey provide that playbook, aligning human creativity with the structured signals AI systems use to interpret, recommend and act:
“In the new AI consumer journey, where discovery and decisions are shaped by LLMs and agents, storytelling becomes more important than ever. At a time when brands are overwhelmed by platforms and tools, the real value is not more noise, but partners who bring narrative clarity and integrated execution, helping brands be understood and ultimately chosen. That’s why at WPP, we’ve brought together the best minds and capabilities to help brands win in this AI-driven landscape.”
Elav Horwitz
Chief Innovation Officer, WPP
Discovery is evolving, and ranking alone is no longer enough.
In the AI consumer journey, visibility comes from being in the answer. AI systems determine this based on signal consistency, source credibility, cross-platform corroboration, and historical reliability.
Winning requires an integrated approach across search, social, retail, and generative AI to build consistent, corroborated signals across the ecosystem.
Your actions
Structure content not only to rank, but to shape how AI systems learn, interpret and cite your brand within AI-generated answers.
Expand brand mentions across credible sources. While backlinks still matter for search, contextual citations now influence how AI systems reference and recommend your brand.
Invest in consistent, credible participation across social platforms and expert communities. Every post, collaboration and review strengthens how AI systems assess and surface your brand and reinforces the signals that shape intent.
Degree wins with AI overviews
WPP Media helped Degree increase its share of AI-driven discovery by structuring content for AI Overviews and strengthening authority across search and content ecosystems.
“Optimise not just for position, but for citation as well. To grow AI visibility without damaging search the strategy must be to build upon SEO foundations, not replace them, extending into Generative & Search Optimisation to shape how AI systems interpret and cite your brand.”
Edward Cowell
Global VP, SEO & GSO, WPP Media
Your website is no longer a destination. It is the source of truth AI systems rely on and direct people toward.
In AI-driven discovery, visibility is earned through clarity, structure, and verifiability that allow AI systems to interpret signals, validate claims, and determine which brands to trust.
Brands that centralise their truth create a reference layer that AI systems can confidently cite, verify, and build upon.
Your actions
Clearly articulate what you offer, how it works and under what conditions it applies. Support every claim with structured, verifiable proof.
Optimise not just for clicks, but for citation. Structure content around how real people ask questions so AI systems can confidently reference your brand in responses.
Align claims, terminology and proof points across all channels. Transparent benchmarks, comparisons and external validations strengthen AI system confidence in how your brand is represented.
“Your website is no longer simply a destination for traffic. It is where AI systems verify. If your claims are vague, inconsistent or unstructured, they won’t be cited. The brands that treat their website as a governed reference layer, built for clarity and machine confidence, will shape how they’re recommended.”
Jurjen van den Broek
Director of Organic Marketing, VML
Consumers now arrive on your website with intent already formed. They are not exploring; they are validating the choices AI has surfaced.
Static pages and traditional navigation introduce friction at the moment of decision, slowing validation and eroding confidence.
Conversion is no longer about persuading. It is about proving the AI was right.
Your actions
Shift your website from exploration to confirmation. Provide immediate relevance, clear proof points and streamlined pathways for repeat purchases, renewals and upgrades.
AKQA’s Generative UI framework allows websites to dynamically assemble relevant content based on goals and constraints, reducing friction and guiding consumers toward outcome-focused decisions.
Dynamic experiences still require governance. Design systems, tone, and compliance rules that guide every interaction.
“Intent is now the most valuable signal in the digital economy. As consumers arrive further down the journey, the opportunity is no longer to infer what they might want, but to capture and respond to what they are actively trying to achieve.”
Nicolas Le Pallec
Chief Technology Officer, EMEA, AKQA
AI systems are evolving from recommendation engines into autonomous agents that can research, configure, and transact on behalf of consumers.
Agentic readiness does not require full commerce within AI interfaces. It requires structural clarity so AI systems can act with confidence and execute transactions.
This is no longer about being visible to AI but being operable by it.
Your actions
Build agent-compatible capabilities into your ecosystem so AI systems can act, not just inform.
Structure products, pricing, and availability so AI systems can interpret and execute them. While levels of autonomy will vary, frameworks from leaders like, Google (Universal Commerce Protocol) and Amazon (Rufus) signal the direction of travel.
Define what AI agents can execute independently and where human confirmation is required. Embed governance directly into workflows to protect trust, safety, and brand integrity.
“Agentic commerce is not about giving AI the keys to your business. It’s about structural readiness. If your products, pricing and permissions aren’t machine-readable and governed, agents cannot act on them. The brands that win will design for action, not just visibility, with control embedded from the start.”
Sam Bukowski
Global Head of Commerce, WPP Media
AI systems prioritise corroborated information across sources. Authority is built through consistency, credibility, and repetition across independent voices.
Earned media no longer just reaches people. It teaches AI systems how to understand a business, a product, or a category.
The more consistent the signal, the more confidently your brand is interpreted, validated, and recommended.
Your actions
Identify the publishers, platforms, and communities most cited in your category, recognising that influence varies by platform, licensing model, and audience.
Equip spokespeople with consistent, repeatable narratives and verifiable proof points. Repetition across credible sources turns claims into accepted signals.
Expand beyond scale media. Technical writers, academics, specialist creators, and podcasters strengthen authority signals.
Encourage authentic reviews, expert commentary, and transparent participation in communities to reinforce trust and credibility.
AI powered pet food
WPP Media helped Pure Pet Food become a recommended answer in LLMs by building credible authority across publisher and affiliate ecosystems.
“AI answer engines are heavily influenced by earned media, often in unexpected ways. For example, depending on the consumer journey, they can elevate journalists with smaller audiences as well as creators, reshaping how brands think about influence. Earned media must now be valued not just for reach, but for how it shapes AI understanding.”
Steve Rubel
EVP Media Insights & Measurement, Burson
Creative has always been for humans, but it is now evaluated by machines. If an asset lacks clarity, evidence and consistency, it will not be cited or trusted.
In AI-driven environments, these are not stylistic choices, they are inputs for reasoning.
This applies across all formats AI systems interpret, including text, images, video and other multimodal content that shape how brands are understood.
AI systems are now the filter, with consumers framing the intent. Creative must satisfy both.
Creative once optimised for attention: “Our platform delivers industry-leading performance for modern teams.” Now it must optimise for AI trust: “Our platform processes over 2 million transactions per day with 99.99% uptime, verified across enterprise deployments in finance and retail.”
Your actions
Replace abstraction with specificity. Quantify, validate, and prove every claim.
Ensure terminology, benefit statements, and proof points appear consistently across all channels. Consistency increases AI confidence.
Build modular creative assets that combine a clear claim, supporting evidence, and contextual relevance in reusable formats.
Govern a single source of truth for claims, naming and proof points across creative, GSO, and product. Repetition builds visibility across both human and AI-driven discovery.
“In AI environments, creative becomes structured information that machines must understand, validate and trust. The brands that win will treat core messaging as infrastructure: governed, version-controlled and aligned across creative, SEO and product. In AI environments, credibility is not just branding, it is distribution strategy.”
Jesse Echeverria
Comms Planning & Media Strategy Director, Ogilvy
Clicks are becoming an obsolete KPI, yet 78% of brands still use them as a primary measure of search success.
In a zero-click world, traffic is a by-product. Influence is the metric. The question is no longer how many consumers arrive, but how often your brand is surfaced, cited, and preferred.
What gets measured shifts from attention to recommendation.
Your actions
Measure Share of Answer, AI mentions, entity coverage, and comparative brand sentiment. These metrics reflect whether your brand is surfaced, trusted, and recommended within AI-generated responses.
Test how content performs with both audiences and AI systems. Use emerging formats and simulated audiences to refine messaging and increase the likelihood of recommendation.
Feed AI visibility insights directly into search, PR, social, and creative strategy. Measurement becomes optimisation infrastructure for AI-driven discovery.
“Brands still chasing traffic will find themselves optimising for less and less. But measuring how your brand is surfaced and preferred gives you a leading indicator, one that becomes an enabler and refiner of your channel strategy.”
David Towers
Senior Partner, WPP Media
AI systems depend on high-quality content to generate answers, yet the zero-click model is reducing the traffic that funds it. Media leaders expect search traffic to decline by 40%, according to the Reuters Institute for the Study of Journalism.
This is not just a discoverability shift. It is a commercial reset of the internet.
Brands that treat authority as a durable asset, built deliberately and maintained over time, will shape how value flows in the AI consumer journey.
The opportunity is not just to be discovered, but to capture and control the value your signals create.
Your actions
Leverage a diverse toolkit of AI access control, frameworks like Cloudflare's Firewall for AI and Microsoft’s Publisher Content Marketplace enable content owners to control access and license usage. Define a clear strategy for monetisation, protection, and controlled distribution.
Move beyond vendor relationships. Co-create with platforms, AI labs, and technology partners to influence how your content is integrated, surfaced, and monetised.
Proprietary data is a source of advantage when ownership is retained and privacy protected. WPP’s Open Intelligence shows how signals can be securely connected across partners to create intelligence competitors cannot replicate and turn it into growth.
Design agent-ready value exchange models where your data, creative, and services can be licensed, integrated, or transacted through AI systems.
“The content brands created to build audiences is now training the systems that are replacing those audiences. Monetisation isn't just a revenue opportunity; it's how brands reclaim their position in the value chain.”
Sarah Salter
VP, Global Partnerships and AI Innovation, WPP
The shift from a click-based internet to an AI-native world is the most significant platform change of our time. Success no longer comes from capturing attention alone but from being understood, validated and recommended by the systems that shape decisions. The eight Cs provide a framework to do exactly that, aligning creative, media, commerce and data to drive AI-led discovery and demand. The goal is no longer to be found. It is to be chosen.